JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts

Truong Son Nguyen, Bao Quoc Ho, Le Minh Nguyen


Anthology ID:
K15-2010
Volume:
Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task
Month:
July
Year:
2015
Address:
Beijing, China
Venue:
CoNLL
SIG:
SIGNLL
Publisher:
Association for Computational Linguistics
Note:
Pages:
66–70
Language:
URL:
https://aclanthology.org/K15-2010
DOI:
10.18653/v1/K15-2010
Bibkey:
Cite (ACL):
Truong Son Nguyen, Bao Quoc Ho, and Le Minh Nguyen. 2015. JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, pages 66–70, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts (Nguyen et al., CoNLL 2015)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/K15-2010.pdf